TY - GEN
T1 - HYPERSPECTRAL AND MULTISPECTRAL IMAGE FUSION
T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
AU - Zhao, Yongqiang
AU - Yan, Haofang
AU - Liu, Sha
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - Hyperspectral image (HSI) provides rich spectral information, which has been used in object detection, environmental protection. However, HSI suffers from low spatial resolution owing to the limitations of imaging systems. Hyperspectral and multispectral image (MSI) fusion is an efficient way to enhance the spatial resolution of HSI. In past decades, many HSI and MSI fusion algorithms have been presented in the literature. In this paper, we present a comprehensive review for the HSI-MSI fusion methods. According to the characteristics and trend of HSI-MSI fusion methods, they are categorized as two classes: model-driven approaches and data-driven approaches. We clarify their characteristics, advantages and also make a comparison and discussion for the fusion methods in each category. Additionally, we analyze the existing challenges and present the potential research directions for HSI-MSI fusion method.
AB - Hyperspectral image (HSI) provides rich spectral information, which has been used in object detection, environmental protection. However, HSI suffers from low spatial resolution owing to the limitations of imaging systems. Hyperspectral and multispectral image (MSI) fusion is an efficient way to enhance the spatial resolution of HSI. In past decades, many HSI and MSI fusion algorithms have been presented in the literature. In this paper, we present a comprehensive review for the HSI-MSI fusion methods. According to the characteristics and trend of HSI-MSI fusion methods, they are categorized as two classes: model-driven approaches and data-driven approaches. We clarify their characteristics, advantages and also make a comparison and discussion for the fusion methods in each category. Additionally, we analyze the existing challenges and present the potential research directions for HSI-MSI fusion method.
KW - Data-driven
KW - Hyperspectral and multispectral image fusion
KW - Model-driven
UR - https://www.scopus.com/pages/publications/85126038551
U2 - 10.1109/IGARSS47720.2021.9553692
DO - 10.1109/IGARSS47720.2021.9553692
M3 - 会议稿件
AN - SCOPUS:85126038551
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1256
EP - 1259
BT - IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 July 2021 through 16 July 2021
ER -